Covariate-Based Covariance Functions for Nonstationary Spatial Modeling


[Up] [Top]

Documentation for package ‘cocons’ version 0.1.4

Help Pages

cocons-package Covariate-based Covariance Functions for Nonstationary Gaussian Processes
coco Creates a coco S4 object
coco-class An S4 class to store information
cocons Covariate-based Covariance Functions for Nonstationary Gaussian Processes
cocoOptim Optimizer for coco objects
cocoPredict Prediction for coco objects
cocoSim Marginal and conditional simulation of nonstationary Gaussian processes
cov_rns Dense covariance function (difference parameterization)
cov_rns_classic Dense covariance function (classic parameterization)
cov_rns_pred Dense covariance function
cov_rns_taper Sparse covariance function
cov_rns_taper_pred Sparse covariance function
getAIC Retrieve AIC
getBIC Retrieve BIC
getBoundaries Simple build of boundaries
getBoundariesV2 Simple build of boundaries (v2)
getBoundariesV3 Simple build of boundaries (v3)
getCIs Compute approximate confidence intervals for a coco object
getCovMatrix Covariance matrix for "coco" class
getCRPS Based on a set of predictions computes the Continuous Ranked Probability Score
getDensityFromDelta Based on a specific taper scale (delta), retrieves the density of the covariance matrix.
getDesignMatrix Create an efficient design matrix based on a list of aspect models
getEstims Retrieve estimates from a fitted coco object
getHessian getHessian
getLoglik Retrieve the loglikelihood value
getLogScore Based on a set of predictions computes the Log-Score
getModelLists Builds the necessary input for building covariance matrices
getModHess Retrieves the modified inverse of the hessian
GetNeg2loglikelihood GetNeg2loglikelihood
GetNeg2loglikelihoodProfile GetNeg2loglikelihoodProfile
GetNeg2loglikelihoodREML GetNeg2loglikelihoodREML
GetNeg2loglikelihoodTaper GetNeg2loglikelihoodTaper
GetNeg2loglikelihoodTaperProfile GetNeg2loglikelihoodTaperProfile
getScale Fast and simple standardization for the design matrix.
getSpatEffects Evaluates the spatially-varying functions from a coco object at locs
getSpatMean Computes the spatial mean of a (fitted) coco object
holes Holes Data Set
holes_bm Holes with trend + multiple realizations Data Set
is.formula check whether an R object is a formula
plot-method Plot Method for coco objects
plotOptimInfo Plot log info detailed
stripes Stripes Data Set
summary Summary Method for Coco Class
summary-method Summary Method for Coco Class